Justin Svegliato

According to our database, Justin Svegliato authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A StrongREJECT for Empty Jailbreaks.

Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer

CoRR, 2024

Ethically Compliant Autonomous Systems under Partial Observability.

Qingyuan Lu, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game.

Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Defining Deception in Decision Making.

Marwa Abdulhai, Micah Carroll, Justin Svegliato, Anca D. Dragan, Sergey Levine

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Competence-aware systems.

Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein

Artif. Intell., March, 2023

Active teacher selection for reinforcement learning from human feedback.

Rachel Freedman, Justin Svegliato, Kyle Hollins Wray, Stuart Russell

CoRR, 2023

Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities.

Samer B. Nashed, Justin Svegliato, Su Lin Blodgett

CoRR, 2023

Formal Composition of Robotic Systems as Contract Programs.

Mason Nakamura, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell

IROS, 2023

Active Reward Learning from Multiple Teachers.

Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning.

Samer B. Nashed, Justin Svegliato, Abhinav Bhatia, Stuart Russell, Shlomo Zilberstein

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Metareasoning for Safe Decision Making in Autonomous Systems.

Justin Svegliato, Connor Basich, Sandhya Saisubramanian, Shlomo Zilberstein

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning.

Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

On the Benefits of Randomly Adjusting Anytime Weighted A.

Abhinav Bhatia, Justin Svegliato, Shlomo Zilberstein

Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

Agent-Aware State Estimation in Autonomous Vehicles.

Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Improving Competence via Iterative State Space Refinement.

Connor Basich, Justin Svegliato, Allyson Beach, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Solving Markov Decision Processes with Partial State Abstractions.

Samer B. Nashed, Justin Svegliato, Matteo Brucato, Connor Basich, Rod Grupen, Shlomo Zilberstein

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Ethically Compliant Planning within Moral Communities.

Samer B. Nashed, Justin Svegliato, Shlomo Zilberstein

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Ethically Compliant Sequential Decision Making.

Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Improving Competence for Reliable Autonomy.

Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein

Proceedings of the First Workshop on Agents and Robots for reliable Engineered Autonomy, 2020

Ethically Compliant Planning in Moral Autonomous Systems.

Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein

Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

A Model-Free Approach to Meta-Level Control of Anytime Algorithms.

Justin Svegliato, Prakhar Sharma, Shlomo Zilberstein

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

An Integrated Approach to Moral Autonomous Systems.

Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Learning to Optimize Autonomy in Competence-Aware Systems.

Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Belief Space Metareasoning for Exception Recovery.

Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Meta-Level Control of Anytime Algorithms with Online Performance Prediction.

Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Celebrating the past, present, and future of computing.

Timothy E. Lee, Justin Svegliato

AI Matters, 2017

2013

Stimulus-response tests: An applied demonstration: Demonstration paper.

Carolyn C. Matheus, Justin Svegliato

Proceedings of the IEEE 7th International Conference on Research Challenges in Information Science, 2013